Fraud AI/ML Data Scientist: Anomaly Detection

Guidehouse Inc.; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Guidehouse Inc. seeks a data science professional to translate business needs into scalable ML solutions across structured and unstructured data. You will partner with stakeholders to deliver AI use cases and implement anomaly and fraud detection capabilities using AWS-native services.

Responsibilities span model development, NLP, semantic search, and explainability within an AWS data lakehouse, with opportunities to lead analytics initiatives in a dynamic team. U.S.

Qualifications

• U.S. Citizenship required and ability to obtain Public Trust clearance.
• 4+ years of experience in data science, ML, or applied analytics.
• Experience building ML solutions for NLP, semantic search, entity resolution, anomaly and fraud detection.

Responsibilities

• Partner with stakeholders to define AI/ML use cases and translate business needs into scalable data science solutions.
• Design and develop ML models for search, discovery, anomaly, and fraud detection across structured and unstructured data.
• Develop anomaly and fraud analyses using supervised, unsupervised, semi-supervised, and graph-based techniques.
• Apply Generative AI and foundation models to enhance anomaly and fraud workflows.
• Build NLP, semantic search, entity resolution, and relationship analytics capabilities for advanced information retrieval.
• Leverage OCR/ICR, metadata, images, and free text for downstream analytics and fraud analysis.
• Collaborate with data engineers and cloud engineers to deploy models in production using AWS services.
• Develop data science solutions within an AWS data lakehouse including feature engineering, training, inference, and monitoring.
• Create evaluation frameworks with explainability, risk scoring, and human-in-the-loop review.
• Evaluate models with precision, recall, F1, FP rate, and business impact.
• Support dashboards, alerting, and investigative workflows for operational insights.
• Work in an Agile environment with sprint planning and iterative model delivery.
• Communicate findings clearly to technical and non-technical audiences.
• Contribute to solution design, technical documentation, and thought leadership in AI/analytics.

Skills

NLP

Semantic search

Entity resolution

Graph analytics

Anomaly detection

Fraud detection

AWS SageMaker

MLOps

Data lakehouse

Time-series analytics

Education

Bachelor's or Master's in Data Science/CS/Statistics/Math/Engineering

Tools

SageMaker

Redshift

Athena

Glue

Lake Formation

OpenSearch

ECS/EKS

Apache Iceberg

Job description

Guidehouse Inc. seeks a data science professional to translate business needs into scalable ML solutions across structured and unstructured data. You will partner with stakeholders to deliver AI use cases and implement anomaly and fraud detection capabilities using AWS-native services.

Responsibilities span model development, NLP, semantic search, and explainability within an AWS data lakehouse, with opportunities to lead analytics initiatives in a dynamic team. U.S.